Computer aided wound area detection system for dermatological images

İLKİN S., Gülağız F., Hangişi F. S., ŞAHİN S.

6th World Conference on Information Systems and Technologies, WorldCIST 2018, Naples, İtalya, 27 - 29 Mart 2018, cilt.746, ss.820-830 identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Cilt numarası: 746
  • Doi Numarası: 10.1007/978-3-319-77712-2_77
  • Basıldığı Şehir: Naples
  • Basıldığı Ülke: İtalya
  • Sayfa Sayıları: ss.820-830
  • Anahtar Kelimeler: Computer based diagnostic systems, Dermatologic images, Edge detection, Filtering, Medical image processing, Thresholding, Wound area detection
  • Kocaeli Üniversitesi Adresli: Evet

Özet

Research shows that in the last decade, the focus on computer-assisted diagnoses on the skin disorders has increased significantly as a result of the improvements in skin imaging technology and the development of compatible image processing techniques. More accurate treatments provided by means of computer-assisted diagnostic systems increase the patients’ chances of recovery and survival. Image processing techniques used in these systems facilitate the detection of wound areas. In this study, a wound detection system using adaptive weighted median filter (AWMF), Otsu’s thresholding, and an implementation of the Canny edge detection algorithm using the Sobel kernel, respectively, is proposed for the detection of wound areas on dermatological images. The effectiveness of the system is tested on different dermatological datasets. Obtained values are analyzed with Peak Signal to Nose Ratio (PSNR) and Correlation Coefficient (CC) metrics and it was confirmed that the system works accurately on various datasets.